• Heena Patil
• Anurag Shekhar
• Renuka Dingore
• Archana sahu

Despite the vast academic research on artificial intelligence's significant potential, there have been no findings on its efficacy in improving patient safety in robotic surgery. The purpose of this research is to undertake a comprehensive review of the published literature on artificial intelligence in robotic surgery, as well as to identify and analyze present limitations and roadblocks. A literature search was conducted using PubMed, Web of Science, and Scopus, according to the PRISMA 2020 statement. The papers were to be peer-reviewed and published in English between January 1, 2016 and December 31, 2020. Amstar 2 was used for quality control. To examine the risk of bias, thNewcastle Ottawa Quality Assessment Tool was employed. The data from the studies was visually displayed using the SPIDER tool.Thirty-five publications were found to meet the search criteria, representing 3436 patients, and were included in the study. Motion analysis (n = 17), urology (n = 12), gynaecology (n = 1), other specialties (n = 1), training (n = 3), and tissue retraction (n = 1) are among the papers chosen. Surgical instrument identification precision ranged from 76.0 percent to 90.6 percent. After a robot-assisted radical prostatectomy (RARP), the mean absolute error on urine continence prediction ranged from 85.9 to 134.7 days. After RARP, the accuracy of predicting length of stay was 88.5 percent. During robot-assisted partial nephrectomy (RAPN), the accuracy of recognizing the next surgical task was 75.7 percent. The studies that were examined were of poor quality.The tiny size of the datasets limits the findings. Due to method and dataset variability, comparisons between studies on the same topic were limited. There is no evidence that AI can yet detect the crucial robotic surgery Introduction (Heading 1) operations that impact patient outcome. Large dataset investigations and external validation of AI systems are both urgently required. Furthermore, surgeons should be able to communicate with patients in layman's terms because the results should be transparent and relevant.

Artificial intelligence robotic surgery Machine learning robotic surgery , applications, the da vinci surgical robot.

"Robotic surgery using artificial intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.h444-h447, October-2023, Available :http://www.jetir.org/papers/JETIR2310652.pdf

"Robotic surgery using artificial intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. pph444-h447, October-2023, Available at : http://www.jetir.org/papers/JETIR2310652.pdf